Experiment

Aim

A study was conducted to understand the effect of the number of hours the students spent studying on their performance in the final exams. Write a code to plot a line chart with the number of hours spent studying on the x-axis and score in the final exam on the y-axis. Use a red ‘*’ as the point character, label the axes, and give the plot a title.

Code Explanation

import matplotlib.pyplot as plt

hours = [10, 9, 2, 15, 10, 16, 11, 16]
score = [95, 80, 10, 50, 45, 98, 38, 93]

# Plotting the line chart
plt.plot(hours, score, marker='*', color='red', linestyle='-')

# Adding labels and title
plt.xlabel('Number of Hours Studied')
plt.ylabel('Score in Final Exam')
plt.title('Effect of Hours Studied on Exam Score')

# Displaying the plot
plt.grid(True)
plt.show()

Explanation of Each Line

Importing the Required Library

import matplotlib.pyplot as plt

• import is a statement used to include external libraries or modules in your code.
• matplotlib.pyplot is a collection of functions in the popular plotting library Matplotlib, which provides a MATLAB-like interface.
• as plt assigns a shorter alias to matplotlib.pyplot to simplify its usage in the code.

Defining the Data

hours = [10, 9, 2, 15, 10, 16, 11, 16]
score = [95, 80, 10, 50, 45, 98, 38, 93]

• hours is a list containing the number of hours students spent studying.
• score is a list containing the corresponding scores students achieved in the final exam.

Plotting the Line Chart

plt.plot(hours, score, marker='*', color='red', linestyle='-')

• plt.plot() is a function used to create a line chart.
• hours is used for the x-axis data.
• score is used for the y-axis data.
• marker='*' sets the point character to a red asterisk.
• color='red' sets the line and marker color to red.
• linestyle='-' sets the line style to a solid line.

Adding Labels and Title

plt.xlabel('Number of Hours Studied')
plt.ylabel('Score in Final Exam')
plt.title('Effect of Hours Studied on Exam Score')

• plt.xlabel() sets the label for the x-axis.
• plt.ylabel() sets the label for the y-axis.
• plt.title() sets the title for the plot.

Displaying the Plot

plt.grid(True)
plt.show()

• plt.grid(True) adds a grid to the plot for better readability.
• plt.show() displays the plot on the screen.

Library Definitions

Matplotlib

• Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
• Pyplot is a module in Matplotlib used for making simple plots like line charts, bar charts, and histograms.

Questions and Answers

What does import matplotlib.pyplot as plt do?

• It imports the pyplot module from the matplotlib library and assigns it the alias plt for easier usage.

Why do we use lists for hours and score?

• Lists are used to store multiple values in a single variable, which is useful for holding the data points for plotting.

What is the purpose of plt.plot()?

• plt.plot() is used to create a line chart with the specified data and formatting options.

How do we add labels and a title to the plot?

• We use plt.xlabel() to set the x-axis label, plt.ylabel() to set the y-axis label, and plt.title() to set the title of the plot.

How do we display the plot on the screen?

• We use plt.show() to render the plot and display it on the screen.